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**About ITClinical**

ITClinical delivers cloud‑based solutions that accelerate the development of life‑saving medicines. Our platform empowers investigators, sponsors, and patients with intuitive, data‑driven tools that streamline clinical trials worldwide.

**Why This Role Matters**

We are seeking an AI Specialist who will design, build, and deploy AI models and automated workflows for our clinical‑trial and pharmacovigilance platforms – and also champion AI adoption and innovation across the entire ITClinical organization. By driving new AI initiatives you will help us:

– Optimise our team’s workload by incorporating AI tools and workflows
– Generate more qualified leads and enhance pre‑sale engagement
– Expand our market reach and accelerate new product releases

**Role Overview**

The AI Specialist will:

– Be on the forefront of AI adoption: if you are excited about the innovation in AI, are on the forefront of the news but at the same time are pragmatic about adoption (results over fads), this is the job for you!
– Design, build, and deploy AI models (e.g., embeddings, LLM prompt engines) and automated workflows that streamline platform processes.
– Drive company‑wide AI initiatives by identifying high‑impact use cases, creating reusable AI modules, and guiding cross‑functional pilots.
– Implement cutting‑edge AI trends such as:

>
> – OpenClaw / Agentic AI – autonomous reasoning and workflow orchestration
> – Low‑code / No‑code AI Platforms – enable product and sales teams to prototype AI features quickly.
> – Federated Learning – collaborative, privacy‑preserving model training across multiple sites.
> – Explainable AI (XAI) – provide regulatory‑ready insights for FDA, EMA, and ICH compliance.
> – AI‑driven Clinical Data Harmonization – standardize EHR, eCRF, and patient‑reported data.
> – ML‑Ops for Continuous Deployment – automate monitoring, retraining, and rollback of AI services.
> – Monitor, iterate, and document AI solutions to ensure high quality, compliance, and scalability.
>

### Requirements

**What You’ll Bring**

– AI/ML experience with proven deployments in business or clinical settings.
– Strong technical stack: experience with modern programming languages (Python or similar), deep-learning frameworks (PyTorch, TensorFlow, or similar), and vector-store solutions (Pinecone, Weaviate or similar).
– Experience with workflow automation (n8n, Zapier, Airflow) and API integration.
– Knowledge of federated learning – ability to design and deploy privacy‑preserving models across distributed sites.
– Problem‑solving mindset – translate business needs into scalable, production‑ready AI systems.
– Excellent communication in English; Portuguese is a plus.

**Preferred Qualifications**

– Exposure to OpenClaw or similar agentic AI frameworks and n8n.
– Hands‑on experience with prompt engineering for conversational AI and chatbot development.
– Familiarity with clinical research data standards (CDISC, ICH) and experience integrating AI with EDC/IWRS systems.
– Understanding of regulatory compliance (GDPR, HIPAA) in data‑handling workflows.

### Benefits

**What We Offer**

– Fully remote work with flexible hours.
– A friendly team spread across Portugal.
– Opportunity to shape the future of AI in clinical research.

## Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

## Job Description

– Design and maintain scalable data solutions that support AI applications and advanced analytics.
– Build and optimize semantic data models, ensuring high-quality, trusted metrics for business and AI consumption.
– Develop integrations between data platforms, semantic layers, and AI-powered solutions.
– Collaborate with cross-functional teams to translate business needs into reliable data products.
– Identify opportunities to improve data quality, governance, and semantic consistency across the platform.
– Apply causal inference and advanced analytical techniques to generate meaningful business insights.
– Support AI initiatives through LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).
– Provide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.
– Partner with Data Engineers, Analytics Engineers, Product Managers, and AI teams to deliver scalable solutions.
– Drive innovation by promoting modern data engineering, AI, and analytics best practices across the organization.

## Qualifications

– Bachelor’s or Master’s degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.
– 5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
– Strong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI.
– Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.
– Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.
– Strong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.
– Experience working with Generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG), and evaluating LLM outputs.
– Good understanding of data governance, identity and access management (IAM), and secure data architecture principles.
– Proven ability to lead technical initiatives, mentor engineering teams, and influence architectural decisions across multiple stakeholders.
– Excellent communication, problem-solving, and collaboration skills, with the ability to explain complex technical concepts to both technical and business audiences.

## Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

## Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

## Job Description

We are looking for a hands-on technical leader to define, build, and scale our Data Visualization Practice.

You will serve as the “Player-Coach” for the unit: defining the Go-To-Market strategy and winning new business, while simultaneously acting as the Chief Architect who defines the engineering standards for the team. You will lead the transition to code-first BI (TMDL, Git) while ensuring our solutions integrate seamlessly with any modern data platform (Fabric, Databricks, BigQuery, Snowflake, etc.).

**1. Practice Strategy & Commercial Support**

– Go-to-Market Strategy: Support the definition and execution of the practice roadmap, service offerings, and sales strategy.
– Pre-Sales Support & Solutioning: Partner with the PreSales and Sales teams to support technical pre-sales, design solution architectures, and scope proposals (SOWs) for clients.
– Team Leadership: Recruit, mentor, and lead a team of BI Architects and Analysts, fostering a culture of technical excellence.

**2. Technical Architecture & Engineering Standards**

– Modern BI Governance: Enforce the use of TMDL (Tabular Model Definition Language), Git-based version control, and CI/CD pipelines to treat BI as a software engineering discipline.
– Advanced Data Modeling: Enforce strict Dimensional Modeling (Kimball) standards across the team to ensure scalability and performance.
– Source-Agnostic Integration: Architect robust semantic models that consume data from diverse modern data platforms, including Databricks, Google BigQuery, Amazon Redshift, Snowflake, and Microsoft Fabric, that also leverages a strategy for Import vs. DirectQuery vs. Composite Models to optimize performance over non-native sources (Databricks, Snowflake, etc.)
– Quality Assurance: Act as the lead technical reviewer for complex DAX, data models, and code merges, ensuring “pixel-perfect” and performant delivery.
– Al-Augmented Development: Lead the adoption of Al tools (Copilot in Fabric/Power BI) to accelerate DAX generation and documentation, tracking efficiency gains.
– Visual Governance: Enforce the ‘Mockup-First’ methodology, ensuring no development begins without a signed-off prototype from the UX/UI team.

## Qualifications

**Must-Have Technical Skills:**

– Power BI Mastery: Expert-level capability in DAX, Power Query (M), and calculation groups. You must be able to debug the most complex performance issues.
– Advanced SQL: You must be fluent in writing complex SQL queries for data analysis and validation across different dialects (T-SQL, Spark SQL, BigQuery SQL, etc.).
– Code-First BI Experience: Hands-on experience with Tabular Editor, TMDL, and Git integration.
– Data Modeling: Deep expertise in Star Schema design and Kimball methodologies.

**Broad Data Ecosystem Knowledge:**

– Proven experience connecting BI tools to non-Microsoft sources (e.g., Databricks Lakehouse, Google BigQuery, AWS Redshift). You understand the nuances of Direct Query vs. Import in these scenarios.

**Nice-to-Have Skills:**

– Tableau: Experience designing and deploying Tableau solutions (to support agnostic client requests).
– Python: Ability to use Python for light data engineering or scripting.
– dbt: Familiarity with dbt for transformation layers.

**Soft Skills:**

– Commercial Acumen: Experience in consulting pre-sales, commercial modeling, and writing proposals.
– Communication: Ability to translate technical complexity into clear business value for C-Level stakeholders.

**Success Metrics**

– Adoption: Successful rollout of the new “Code-First” workflow (TMDL/Git) across the team.
– Growth: Increase in practice revenue through successful pre-sales and new client wins.
– Quality: Reduction in rework and increase in stakeholder satisfaction via the new “Mockup-First” governance.

## Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

## Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

## Job Description

– Design and maintain scalable data solutions that support AI applications and advanced analytics.
– Build and optimize semantic data models, ensuring high-quality, trusted metrics for business and AI consumption.
– Develop integrations between data platforms, semantic layers, and AI-powered solutions.
– Collaborate with cross-functional teams to translate business needs into reliable data products.
– Identify opportunities to improve data quality, governance, and semantic consistency across the platform.
– Apply causal inference and advanced analytical techniques to generate meaningful business insights.
– Support AI initiatives through LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).
– Provide technical leadership through mentoring, code reviews, architectural guidance, and engineering best practices.
– Partner with Data Engineers, Analytics Engineers, Product Managers, and AI teams to deliver scalable solutions.
– Drive innovation by promoting modern data engineering, AI, and analytics best practices across the organization.

## Qualifications

– Bachelor’s or Master’s degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, or a related technical field.
– 5+ years of experience in senior Data Engineering, AI Engineering, Analytics Engineering, or related data-focused roles.
– Strong hands-on experience with modern data platforms, including Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Apps) and Google Cloud Platform services such as BigQuery, Cloud Run, Pub/Sub, and Vertex AI.
– Solid expertise in Python for advanced data engineering, API development (FastAPI), and integration with LLM frameworks such as LangChain or Anthropic.
– Experience building and leveraging semantic layers and metric definitions to support advanced analytics, SQL workloads, and AI-powered applications.
– Strong understanding of causal inference techniques, including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and modern Causal ML frameworks.
– Experience working with Generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG), and evaluating LLM outputs.
– Good understanding of data governance, identity and access management (IAM), and secure data architecture principles.
– Proven ability to lead technical initiatives, mentor engineering teams, and influence architectural decisions across multiple stakeholders.
– Excellent communication, problem-solving, and collaboration skills, with the ability to explain complex technical concepts to both technical and business audiences.

## Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

A Expleo está a recrutar um/a Senior DevOps Engineer para a área de IT & Digital, em regime remoto, com contrato permanente. A oportunidade é remota, mas requer residência em Portugal.

A função é indicada para profissionais experientes em DevOps e DevSecOps, com domínio de CI/CD, GitHub Actions, automação, GitOps, plataformas de containers e ferramentas de qualidade, segurança e monitorização.

Responsabilidades:

• Desenvolver e manter pipelines de CI/CD em ambientes DevSecOps;
• Trabalhar com GitHub, GitHub Actions e estratégias de branching;
• Apoiar a implementação de práticas DevSecOps e automação de processos;
• Utilizar ferramentas de análise, qualidade e segurança de código, como SonarQube, Checkmarx e Prisma Cloud;
• Implementar automação com scripting em Shell e Python;
• Trabalhar com práticas de GitOps, nomeadamente ArgoCD ou FluxCD;
• Apoiar projetos com Maven/Java, Node.js e gestão de artefactos com Sonatype Nexus;
• Colaborar com equipas técnicas na gestão de plataformas de containers e cloud;
• Acompanhar ambientes com AWS EKS, Azure AKS ou OpenShift;
• Utilizar ferramentas de monitorização, como Datadog, para apoiar a fiabilidade das soluções.

Requisitos:

• Mais de 5 anos de experiência profissional em funções de DevOps Engineer;
• Experiência com GitHub, GitHub Actions, branching strategies e desenvolvimento de pipelines CI/CD;
• Forte conhecimento de ferramentas DevSecOps, incluindo SonarQube, Checkmarx e Prisma Cloud;
• Experiência em automação com Shell e Python;
• Experiência com GitOps, nomeadamente ArgoCD ou FluxCD;
• Conhecimentos de Maven/Java e Node.js;
• Experiência em gestão de artefactos com Sonatype Nexus;
• Familiaridade com plataformas de containers, como AWS EKS, Azure AKS ou OpenShift;
• Conhecimentos de ferramentas de monitorização, como Datadog;
• Inglês profissional;
• Residência em Portugal.